Ocean waves crashing with swirling energy patterns beneath the surface

Ocean Mixing Unveiled: How Waves and Turbulence Shape Our Seas

"New research sheds light on the complex interaction of waves and turbulence in the ocean mixed layer, offering critical insights for climate modeling and marine ecosystems."


The ocean is a dynamic environment where energy is constantly exchanged between the atmosphere and the water. This exchange is largely governed by turbulence, which mixes water, distributes heat, and influences marine life. Understanding how turbulence behaves in the ocean mixed layer (OML) is crucial for accurate climate modeling and predicting the health of our oceans.

Turbulence in the OML is a complex interplay of energy production, buoyancy (the tendency of an object to float), and dissipation (the conversion of kinetic energy into heat). Large-scale numerical models rely on accurate parameterizations of these processes, especially dissipation, to compensate for their inability to directly simulate turbulence at the smallest scales.

Recent research has focused on refining our understanding of how energy dissipates in the OML. Unlike the atmospheric boundary layer (ABL), the OML is significantly influenced by surface gravity waves and Langmuir circulations, creating more complex patterns of dissipation. This article delves into a groundbreaking study that examines these processes, providing new insights into wave-turbulence scaling in the ocean.

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The Scale of Wave-Driven Mixing

Ocean turbulent mixing influences exchanges of heat, momentum, and mass between the air and sea. Surface gravity waves play a key role in generating turbulence in the upper ocean, but how wave energy transfers into ocean turbulence remains an open question. A 2025 estimate using an empirical scheme and wave reanalysis data placed total nonbreaking wave-energy dissipation through wave-turbulence interaction at approximately 17 TW globally, predominantly in extratropical regions during local winter. Combined wave-current boundary layers can also generate strong turbulence and high bed shear stresses, affecting sediment transport, mixing, and diffusion.

What Drives Turbulence in the Ocean's Surface?

Ocean waves crashing with swirling energy patterns beneath the surface

Traditionally, scientists have approached turbulence in the OML using similarity scaling, which treats the OML as a shear-driven wall layer. This approach assumes a constant stress with a logarithmic velocity profile, where shear (the change in velocity with depth) is proportional to the friction velocity (a measure of wind stress) and inversely proportional to depth.

However, observations have revealed that this simple model often falls short, particularly in the near-surface region. Many studies have reported significantly higher rates of turbulent kinetic energy dissipation than predicted by the shear-driven wall layer model. This discrepancy is attributed to the presence of breaking surface gravity waves, which directly inject turbulent kinetic energy into the near-surface region.

  • Breaking Waves: Introduce significant turbulence near the surface.
  • Langmuir Circulations: Enhance mixing and dissipation.
  • Wind Forcing: Creates shear and contributes to turbulence production.
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Refining Surface-Wave Mixing

Research on upper-ocean mixing examines how surface gravity waves transfer energy into shear turbulence, including regimes characterized by La values from 0.5 to 2. The FuGas 2.5 update reports that larger gravity waves are determinant for the roughness length in coastal oceans, while capillary-gravity waves and smooth airflow are also important. Measurements across the air-sea interface corroborate an input-dissipation balance for waves at wind speeds of 8-14 m s−1 in developed to young seas. Observations of turbulent dynamics further indicate that evaluating dissipation at only one depth may be insufficient for understanding the ocean surface boundary layer.

Why Simple Wave Models Fall Short

Earlier research often focused on wave-mean-current interactions and largely ignored wave-turbulence interactions because waves were mistakenly treated as principally irrotational. Subsequent work presented evidence of clear coupling between surface waves and surface turbulence, indicating that molecular layers, viscous layers, waves, and turbulence all matter for parameterizing air-sea fluxes. Another study concluded that wave-turbulence interaction can generate turbulence kinetic energy in the upper ocean and influence both vertical mixing and surface-wave decay. The continuing study of turbulent vortices in combined wave-current boundary layers shows that the relevant dynamics remain unresolved.

Testing Turbulence Profiles

An atmospheric-boundary-layer similarity approach calculates profiles of turbulent kinetic energy and energy dissipation rate. The reported profiles are required to match observed values at 5 and 40 meters. Its algorithms are coded for operational use and produce plausible profiles over the diurnal variation of the atmospheric boundary layer. The study therefore emphasizes comparison with observations at multiple heights rather than relying on a single-depth assessment.

One proposed scaling suggests that enhanced dissipation rates can be linked to parameters of the wind-wave field. The uppermost region of the ocean, down to a depth of about 60% of the significant wave height, experiences a uniform turbulent dissipation rate due to breaking waves. Below this, an intermediate region exhibits a dissipation rate that decays with depth. Further down, dissipation follows the traditional shear-driven wall layer scaling.

The Future of Ocean Turbulence Research

While significant progress has been made, accurately parameterizing turbulence in the OML remains a challenge. The intermittent nature of turbulence and the scarcity of comprehensive datasets, particularly in the open ocean, limit the ability to validate and refine existing models. Future research needs to focus on collecting more high-quality data under diverse sea states and conditions to better understand the complex interplay of factors that govern turbulence in the ocean's surface.

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From Measurements to Mechanisms

Analysis of measurements from the Knorr11 cruise found that the LOW predicts air-sea gas fluxes within an order of magnitude, but tends to overestimate the observations. Direct numerical simulations published in 2025 investigated turbulence induced by nonbreaking surface waves using a sigma-coordinate, free-surface nonhydrostatic model. One simulation was modeled on a laboratory experiment involving a wave with a 30 cm wavelength and 1 cm amplitude. Together, these studies illustrate the value of comparing observations with both parameterizations and mechanistic simulations.

Connecting Scales

Current research in ocean turbulence and mixing dynamics is expanding through new methods and studies from researchers across the field. The 12th Waves and Turbulence Dynamics workshop summarized state-of-the-art knowledge about waves and turbulence in geophysical flows, with particular focus on the ocean. Its cross-scale perspective addresses wave and turbulence generation, evolution, and interactions. These interactions govern energy transfer across scales and between processes, as well as dissipation that contributes to ocean mixing and the transport of heat, salt, and nutrients.

Improving Climate Models

As turbulent-mixing models become more sophisticated, their parameterizations can be evaluated by comparing modeled three-dimensional spatial patterns of diffusivity or dissipation with observations, including their temporal variations. Research on wave-turbulence interaction also aims to clarify how turbulence associated with nonbreaking waves contributes to vertical mixing. A stated goal is to develop a simple parameter that can represent these effects in large-scale geophysical applications, including general circulation and coupled climate models. The broader challenge is to connect detailed wave-turbulence processes with model representations that remain useful at climate scales.

Where mixed-layer dissipation fits among boundary-layer results

Across the oceanic boundary layer, dissipation generally follows the depth pattern expected for a shear-driven wall layer.[1]

The autonomous-profiler study at a glance

PopulationMicrostructure measurements collected using an autonomous freely rising profiler[1]
Settingopen ocean[1]
Main outcometurbulent kinetic energy dissipation rate profiles[1]
Effect size1% of the wind power referenced to 10 m was dissipated in the mixed layer[1]
Times cited62[1]

What the dissipation estimate represents

  • 1% of wind power referenced to 10 mIntegrating the measured dissipation profile indicates that the mixed layer dissipated 1% of the wind power referenced to 10 m.[1]

The limits the dissipation profiles point to

  • Some profiles followed combined wind- and swell-generated Stokes shear, with that relationship continuing below the mixed-layer depth.[2]

Sources

  1. Wave-turbulence scaling in the ocean mixed layer (Copernicus GmbH, 2013)
  2. os.copernicus.org (os.copernicus.org, 2013)

About this Article -

Written with AI assistance from published research, and reviewed by the Mystum team. See our About page for more information.

This article is based on research published under:

DOI-LINK: 10.5194/os-9-597-2013, Alternate LINK

Title: Wave-Turbulence Scaling In The Ocean Mixed Layer

Subject: Cell Biology

Journal: Ocean Science

Publisher: Copernicus GmbH

Authors: G. Sutherland, B. Ward, K. H. Christensen

Published: 2013-07-08

Everything You Need To Know

1

What is the Ocean Mixed Layer (OML), and why is it important?

The term, Ocean Mixed Layer (OML), refers to the uppermost part of the ocean where the water is relatively well-mixed due to turbulence. This layer is where the atmosphere and the ocean interact, with energy being exchanged. Its significance lies in its direct influence on climate models, as the OML's properties (temperature, salinity, and the distribution of heat) greatly affect global climate patterns. The behavior within the OML also impacts marine ecosystems by determining nutrient availability and the distribution of marine life.

2

What are the main drivers of turbulence in the ocean's surface?

Turbulence in the Ocean Mixed Layer (OML) is driven by several factors. Breaking Waves directly inject turbulent kinetic energy into the near-surface region. Langmuir Circulations enhance mixing and dissipation. Additionally, Wind Forcing creates shear and contributes to turbulence production. These forces work together to create a complex interplay, making the OML a dynamic environment.

3

How does the behavior of turbulence in the Ocean Mixed Layer (OML) differ from that in the atmospheric boundary layer (ABL)?

The primary difference lies in the models used to describe them. The traditional approach uses shear-driven wall layer scaling, which is based on constant stress and a logarithmic velocity profile. However, observations have revealed that this model often underestimates the rates of turbulent kinetic energy dissipation, especially near the surface. Enhanced dissipation rates in the Ocean Mixed Layer (OML) can be linked to parameters of the wind-wave field. The presence of Breaking Waves and Langmuir Circulations in the OML, which are not as significant in the atmospheric boundary layer (ABL), creates more complex patterns of dissipation.

4

Why is understanding turbulence in the Ocean Mixed Layer (OML) so important?

The implications of understanding turbulence in the Ocean Mixed Layer (OML) are far-reaching. Accurate climate models are dependent on understanding heat distribution within the OML. Improving these models allows for better predictions of climate change, including sea surface temperatures, which influence weather patterns globally. Moreover, the OML's properties influence marine ecosystems. The mixing and distribution of nutrients, driven by turbulence, directly impact marine life.

5

What is the future of ocean turbulence research?

Future research on Ocean Turbulence will focus on gathering more comprehensive and high-quality datasets to validate and refine existing models. This includes collecting data under diverse sea states and conditions to better understand the complex interplay of factors that govern turbulence in the ocean's surface. Improving parameterizations of these processes will lead to more accurate climate predictions and a better understanding of marine ecosystems.

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